fixes #658

CHANGELOG.md

@@ -2,6 +2,11 @@
 
 <!-- do not remove -->
 
+## 1.7.27
+
+
+
+
 ## 1.7.26
 
 

fastcore/foundation.py

@@ -173,7 +173,7 @@ def renumerate(self): return L(renumerate(self))
     def unique(self, sort=False, bidir=False, start=None): return L(uniqueify(self, sort=sort, bidir=bidir, start=start))
     def val2idx(self): return val2idx(self)
     def cycle(self): return cycle(self)
-    def groupby(self, key, val=noop): return L(groupby(self, key, val=val))
+    def groupby(self, key, val=noop): return groupby(self, key, val=val)
     def map_dict(self, f=noop, *args, **kwargs): return {k:f(k, *args,**kwargs) for k in self}
     def map_first(self, f=noop, g=noop, *args, **kwargs):
         return first(self.map(f, *args, **kwargs), g)
@@ -223,7 +223,7 @@ def setattrs(self, attr, val): [setattr(o,attr,val) for o in self]
          cycle="Same as `itertools.cycle`",
          enumerate="Same as `enumerate`",
          renumerate="Same as `renumerate`",
-         groupby="Same as `groupby`",
+         groupby="Same as `fastcore.basics.groupby`",
          zip="Create new `L` with `zip(*items)`",
          zipwith="Create new `L` with `self` zip with each of `*rest`",
          map_zip="Combine `zip` and `starmap`",

nbs/02_foundation.ipynb

@@ -255,14 +255,6 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/jhoward/miniforge3/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
-      "  from .autonotebook import tqdm as notebook_tqdm\n"
-     ]
-    },
     {
      "data": {
       "text/markdown": [
@@ -620,7 +612,7 @@
     "    def unique(self, sort=False, bidir=False, start=None): return L(uniqueify(self, sort=sort, bidir=bidir, start=start))\n",
     "    def val2idx(self): return val2idx(self)\n",
     "    def cycle(self): return cycle(self)\n",
-    "    def groupby(self, key, val=noop): return L(groupby(self, key, val=val))\n",
+    "    def groupby(self, key, val=noop): return groupby(self, key, val=val)\n",
     "    def map_dict(self, f=noop, *args, **kwargs): return {k:f(k, *args,**kwargs) for k in self}\n",
     "    def map_first(self, f=noop, g=noop, *args, **kwargs):\n",
     "        return first(self.map(f, *args, **kwargs), g)\n",
@@ -677,7 +669,7 @@
     "         cycle=\"Same as `itertools.cycle`\",\n",
     "         enumerate=\"Same as `enumerate`\",\n",
     "         renumerate=\"Same as `renumerate`\",\n",
-    "         groupby=\"Same as `groupby`\",\n",
+    "         groupby=\"Same as `fastcore.basics.groupby`\",\n",
     "         zip=\"Create new `L` with `zip(*items)`\",\n",
     "         zipwith=\"Create new `L` with `self` zip with each of `*rest`\",\n",
     "         map_zip=\"Combine `zip` and `starmap`\",\n",
@@ -1219,6 +1211,55 @@
     "test_eq(L(1,2,3).val2idx(), {3:2,1:0,2:1})"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "---\n",
+       "\n",
+       "[source](https://github.com/AnswerDotAI/fastcore/blob/master/fastcore/foundation.py#L176){target=\"_blank\" style=\"float:right; font-size:smaller\"}\n",
+       "\n",
+       "### L.groupby\n",
+       "\n",
+       ">      L.groupby (key, val=<function noop>)\n",
+       "\n",
+       "*Same as `groupby`*"
+      ],
+      "text/plain": [
+       "---\n",
+       "\n",
+       "[source](https://github.com/AnswerDotAI/fastcore/blob/master/fastcore/foundation.py#L176){target=\"_blank\" style=\"float:right; font-size:smaller\"}\n",
+       "\n",
+       "### L.groupby\n",
+       "\n",
+       ">      L.groupby (key, val=<function noop>)\n",
+       "\n",
+       "*Same as `groupby`*"
+      ]
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "show_doc(L.groupby)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "words = L.split('aaa abc bba')\n",
+    "test_eq(words.groupby(0, (1,2)), {'a':[('a','a'),('b','c')], 'b':[('b','a')]})"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,